Publication | Open Access
Continuous-Variable Instantaneous Quantum Computing is Hard to Sample
59
Citations
41
References
2017
Year
Quantum ScienceQuantum SecurityEngineeringQuantum ComputingPhysicsCvs MeaningfulNatural SciencesInstantaneous Quantum ComputingQuantum Optimization AlgorithmPolynomial ScalingComputer EngineeringQuantum InformationQuantum AlgorithmComputational ComplexityComputer ScienceQuantum EntanglementQuantum Error CorrectionQuantum Algorithms
Instantaneous quantum computing is a subuniversal quantum complexity class, whose circuits have proven to be hard to simulate classically in the discrete-variable realm. We extend this proof to the continuous-variable (CV) domain by using squeezed states and homodyne detection, and by exploring the properties of postselected circuits. In order to treat postselection in CVs, we consider finitely resolved homodyne detectors, corresponding to a realistic scheme based on discrete probability distributions of the measurement outcomes. The unavoidable errors stemming from the use of finitely squeezed states are suppressed through a qubit-into-oscillator Gottesman-Kitaev-Preskill encoding of quantum information, which was previously shown to enable fault-tolerant CV quantum computation. Finally, we show that, in order to render postselected computational classes in CVs meaningful, a logarithmic scaling of the squeezing parameter with the circuit size is necessary, translating into a polynomial scaling of the input energy.
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